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metric learning

1189 papers

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Also known as

FTML UML MLKML ML SPD DML MNR

Co-occurring keywords

representation learning (6174) few-shot learning (3390) image retrieval (599) embedding learning (609) person re-identification (554) convolutional neural network (4216) contrastive learning (3979) triplet loss (192) feature embedding (312) feature learning (1309)

Papers

A metric learning perspective of SVM: on the relation of LMNN and SVM AISTATS 2012
Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization NIPS 2012
Non-linear Metric Learning NIPS 2012
A Geometric take on Metric Learning NIPS 2012
Parametric Local Metric Learning for Nearest Neighbor Classification NIPS 2012
Supervised Learning with Similarity Functions NIPS 2012
Multiple Instance Learning on Structured Data NIPS 2011
Convergent Bounds on the Euclidean Distance NIPS 2011
Learning to Search Efficiently in High Dimensions NIPS 2011
Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification NIPS 2011
Learning a Tree of Metrics with Disjoint Visual Features NIPS 2011
Maximum Covariance Unfolding : Manifold Learning for Bimodal Data NIPS 2011
Similarity-based Learning via Data Driven Embeddings NIPS 2011
Metric Learning with Multiple Kernels NIPS 2011
A Family of Simple Non-Parametric Kernel Learning Algorithms JMLR 2011
Universal Kernels on Non-Standard Input Spaces NIPS 2010
Pose-Sensitive Embedding by Nonlinear NCA Regression NIPS 2010
Worst-Case Linear Discriminant Analysis NIPS 2010
Generative Local Metric Learning for Nearest Neighbor Classification NIPS 2010
Large Margin Multi-Task Metric Learning NIPS 2010
Inductive Regularized Learning of Kernel Functions NIPS 2010
Size Matters: Metric Visual Search Constraints from Monocular Metadata NIPS 2010
Sparse Metric Learning via Smooth Optimization NIPS 2009
An Online Algorithm for Large Scale Image Similarity Learning NIPS 2009
Learning to Hash with Binary Reconstructive Embeddings NIPS 2009